The RUBIK Algorithm for Characterizing Sparse Interleaved Emitter Pulse Trains

Award Information
Agency:
Department of Defense
Amount:
$79,879.00
Program:
SBIR
Contract:
N00024-13-P-4022
Solitcitation Year:
2013
Solicitation Number:
2013.1
Branch:
Navy
Award Year:
2013
Phase:
Phase I
Agency Tracking Number:
N131-052-0443
Solicitation Topic Code:
N131-052
Small Business Information
Azure Summit Technology, Inc.
13135 Lee Jackson Highway, Suite 330, Fairfax, VA, -
Hubzone Owned:
N
Woman Owned:
N
Socially and Economically Disadvantaged:
N
Duns:
807913616
Principal Investigator
 Mark Sullivan
 Chief Scientist
 (571) 308-1402
 mark.sullivan@azuresummit.com
Business Contact
 Scott Bierly
Title: President&CTO
Phone: (571) 308-1401
Email: scott.bierly@azuresummit.com
Research Institution
 Stub
Abstract
SEWIP Block 2 will utilize a fast-scanning ES receiver to rapidly acquire pulse data in the wideband threat spectrum. Depending on the scanning parameters, large gaps in pulse trains may confuse current deinterleaver technology, and ultimately confuse Emitter ID, which is already a challenge given densities of hundreds of emitters and therefore thousands of pulses to be associated into individual pulse trains. Azure offers a two-pronged approach to solving this problem: Leverage Azure"s Novel Emitter Parametrics NAVSEA SBIR; and, Azure"s proposed new RUBIK algorithm, which combines the functions of Deinterleaver and Emitter ID into a single processing block. In Phase I, Azure will utilize actual radar data collected in our lab, and also work with the Navy to obtain simulated data which is representative of the problem in the context of SEWIP Block 2.

* information listed above is at the time of submission.

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